Fragment processing method for high-definition media-oriented embedded file system

Abstract

The invention relates to a fragment processing method for a high-definition media-oriented embedded file system, and the method comprises the following specific steps: firstly establishing a using linked list of idle data blocks of the embedded file system for recording block number and length of each one of all the idle data blocks of a magnetic disk; secondly determining idle data blocks forming fragments and the positions of the fragments according to the block number and the length of each idle data block recorded by the using linked list of the idle data blocks of the embedded file system, as well as the definition of the fragment sizes of the idle data blocks; comparing the size of each fragment with the length of each idle data block in a chip unit storage unit, judging the idle data blocks forming the fragments, and determining the position of each fragment according to the block numbers in the using linked list of the idle data blocks in the embedded file system; further processing the fragments by data movement and fragment merging; and finally updating the using linked table of the idle data blocks of the embedded file system.

Description

technical field [0001] The invention relates to an embedded file system fragment processing method, in particular to a high-definition media-oriented embedded file system fragment processing method. Background technique [0002] In the context of the media industry entering the high-definition era, the application of data storage technology brought about by high-definition, and the application background of embedded platforms supported by embedded systems, many problems have been exposed in the embedded storage technology based on high-definition media. . [0003] At present, for many audio-visual entertainment devices developed based on embedded systems, the pressure brought by the sudden increase in data storage is usually relieved by replacing larger-capacity storage devices. However, due to its embedded stability, storage space, memory bandwidth, and transmission bandwidth However, the reliability, consistency, stability, and efficient read and write performance of the ...

AI Technical Summary

Problems solved by technology

[0004] 1): Since the user's storage data is mainly audio-visual and video data, especially high-definition video files, the data volume is huge. Although these files do not require high data accuracy and allow a small number of bytes to be lost, once the file is lost or damaged , it takes a long time to repair or re-copy, and the junk files that are not visible to the user can only be formatted to solve the problem, so the cost is high

[0005] 2): With the writing and deletion of files on physical storage devices such as disks, the number of fragments in the system continues

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